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    Research from Iuliu Hatieganu University of Medicine and Pharmacy in the Area of Artificial Intelligence Described [Psychometric Properties of Romanian Version of the Ethical Values Assessment Questionnaire (EVA, EVA - SF)]

    46-46页
    查看更多>>摘要:Researchers detail new data in artificial intelligence. According to news reporting from Iuliu Hatieganu University of Medicine and Pharmacy by NewsRx journalists, research stated, “The objective of the present research is to translate and adapt The Ethical Values Assessment Questionnaire (EVA, EVA - SF) to the Romanian population.”

    Reports Outline Machine Learning Findings from National Board of Medical Examiners (Assessing the Validity of Test Scores Using Response Process Data From an Eye-tracking Study: a New Approach)

    47-47页
    查看更多>>摘要:Current study results on Machine Learning have been published. According to news originating from Philadelphia, Pennsylvania, by NewsRx correspondents, research stated, “Understanding the response process used by test takers when responding to multiple-choice questions (MCQs) is particularly important in evaluating the validity of score interpretations. Previous authors have recommended eye-tracking technology as a useful approach for collecting data on the processes test taker’s use to respond to test questions.”

    University of Crete Reports Findings in Artificial Intelligence (Organ dose prediction for patients undergoing radiotherapy CBCT chest examinations using artificial intelligence)

    48-48页
    查看更多>>摘要:New research on Artificial Intelligence is the subject of a report. According to news reporting originating in Iraklion, Greece, by NewsRx journalists, research stated, “To propose an artificial intelligence (AI)-based method for personalized and real-time dosimetry for chest CBCT acquisitions. CT images from 113 patients who underwent radiotherapy treatment were collected for simulating thorax examinations using cone-beam computed tomography (CBCT) with the Monte Carlo technique.”

    Studies from McMaster University Yield New Data on Machine Learning (Explainable Machine Learning Model for Predicting Punching Shear Strength of Frc Flat Slabs)

    49-49页
    查看更多>>摘要:Investigators publish new report on Machine Learning. According to news reporting originating in Hamilton, Canada, by NewsRx journalists, research stated, “Reinforced concrete slabs are vulnerable to punching shear failure at the slab-column joint, which can initiate catastrophic progressive collapse. The addition of steel fibers in the concrete matrix has emerged as an effective strategy to mitigate such progressive failure.”

    Findings from Budapest University of Technology and Economics in Robotics Reported (Motion Planning for Mobile Robots Using Uncertain Obstacle Estimation)

    50-50页
    查看更多>>摘要:Data detailed on robotics have been presented. According to news reporting out of Budapest, Hungary, by NewsRx editors, research stated, “The collision-free movement of a mobile robot in the presence of dynamic obstacles remains a significant challenge.” Financial supporters for this research include Hungarian Eotvos State Scholarship And By The Rosztoczy Foundation Scholarship; National Science Foundation.

    Jiangsu University Researcher Has Provided New Data on Androids (The Optimized Design of Soil-Touching Parts of a Greenhouse Humanoid Weeding Shovel Based on Strain Sensing and DEM-ADAMS Coupling Simulation)

    50-51页
    查看更多>>摘要:New research on androids is the subject of a new report. According to news originating from Zhenjiang, People’s Republic of China, by NewsRx correspondents, research stated, “To overcome the shortcomings of plowing and rotary tillage, a human-like weeding shoveling machine was designed. The machine’s various moving rods were analyzed using Matlab R2019b(9.7.0.1190202) software to determine the appropriate entry and cutting conditions, as well as non-cutting conditions.”

    Arts et Metiers Institute of Technology Researcher Publishes New Study Findings on Machine Learning (Data Augmentation for Regression Machine Learning Problems in High Dimensions)

    51-52页
    查看更多>>摘要:New research on artificial intelligence is the subject of a new report. According to news reporting out of Paris, France, by NewsRx editors, research stated, “Machine learning approaches are currently used to understand or model complex physical systems.” The news correspondents obtained a quote from the research from Arts et Metiers Institute of Technology: “In general, a substantial number of samples must be collected to create a model with reliable results. However, collecting numerous data is often relatively time-consuming or expensive. Moreover, the problems of industrial interest tend to be more and more complex, and depend on a high number of parameters. High-dimensional problems intrinsically involve the need for large amounts of data through the curse of dimensionality. That is why new approaches based on smart sampling techniques have been investigated to minimize the number of samples to be given to train the model, such as active learning methods. Here, we propose a technique based on a combination of the Fisher information matrix and sparse proper generalized decomposition that enables the definition of a new active learning informativeness criterion in high dimensions.”

    Tianjin Medical University Cancer Institute & Hospital Reports Findings in Bioinformatics (Development and validation of a novel stemness-related prognostic model for neuroblastoma using integrated machine learning and bioinformatics analyses)

    52-53页
    查看更多>>摘要:New research on Biotechnology - Bioinformatics is the subject of a report. According to news reporting originating in Tianjin, People’s Republic of China, by NewsRx journalists, research stated, “Neuroblastoma (NB) is a common solid tumor in children, with a dismal prognosis in high-risk cases. Despite advancements in NB treatment, the clinical need for precise prognostic models remains critical, particularly to address the heterogeneity of cancer stemness which plays a pivotal role in tumor aggressiveness and patient outcomes.”

    Southwest Medical University Reports Findings in Intracranial Aneurysm (Deep learning and machine learning predictive models for neurological function after interventional embolization of intracranial aneurysms)

    54-55页
    查看更多>>摘要:Intracranial Aneurysm is the subject of a report. According to news reporting originating from Luzhou, People’s Republic of China, by NewsRx correspondents, research stated, “The objective of this study is to develop a model to predicts the postoperative Hunt-Hess grade in patients with intracranial aneurysms by integrating radiomics and deep learning technologies, using preoperative CTA imaging data. Thereby assisting clinical decision-making and improving the assessment and prognosis of postoperative neurological function.”

    New Support Vector Machines Study Findings Recently Were Reported by a Researcher at Tarim University (Inversion Study of Nitrogen Content of Hyperspectral Apple Canopy Leaves Using Optimized Least Squares Support Vector Machine Approach)

    55-56页
    查看更多>>摘要:New study results on have been published. According to news originating from Alar, People’s Republic of China, by NewsRx correspondents, research stated, “The rapid and accurate estimation of the nitrogen content of fruit trees helps to achieve a precise management of orchards.” Financial supporters for this research include National Natural Science Foundation of China; Bingtuan Science And Technology Program; Tarim University Innovation Team Project.